Kene Erike
@keneerike
Healthcare quality analyst specializing in HEDIS abstraction, MIPS, EMR optimization, and clinical data accuracy.
United StatesWhat I'm looking for
I am a healthcare quality analyst with extensive experience in HEDIS chart abstraction, MIPS data reporting, and EMR-based clinical documentation improvement. I have abstracted and validated tens of thousands of charts across multiple systems (Epic, Cerner, Allscripts, Meditech) while maintaining high accuracy and compliance with NCQA, HIPAA, and regulatory standards.
I train and support clinical end users, develop reporting and workflow improvements, and collaborate with cross-functional teams to resolve data issues and enhance quality performance. My background includes roles in large hospital systems and vendors, Epic credentialing and end-user training, and documented success improving processes and maintaining rigorous QA standards.
Experience
Work history, roles, and key accomplishments
HEDIS Chart Reviewer
University Hospital System
Dec 2023 - Apr 2024 (4 months)
Reviewed member charts and abstracted data for HEDIS measures in compliance with NCQA standards, producing detailed performance reports and performing QA on all abstractions to ensure accurate metrics.
MHQuality Analyst
Mount Sinai Hospitals
Oct 2022 - Jul 2023 (9 months)
Performed MIPS medical record data abstraction and compliance reviews, maintained 98% accuracy, and prepared feedback reports while ensuring federal and state regulatory standards.
ADDelivered and evaluated Epic training (including Epic Rover), managed LMS user accounts, conducted proficiency assessments, and supported go-live activities to improve clinical documentation accuracy.
HEDIS Quality Support
Health Data Movers
Oct 2020 - May 2021 (7 months)
Abstracted and verified over 10,000 charts for HEDIS compliance with under 1% error rate, entered data into Inoval platform, and recommended process improvements to increase efficiency.
EHPerformed remote HEDIS chart reviews and data abstraction per technical specifications, maintaining under 1% error rate and strict HIPAA compliance.
DIHEDIS Data Abstraction
Divurgent
Nov 2018 - Apr 2019 (5 months)
Conducted accurate HEDIS medical record abstraction, completed inter-rater reliability reviews, and over-read vendor abstractions to maintain 98% accuracy and regulatory compliance.
Education
Degrees, certifications, and relevant coursework
CUCornell University
Bachelor of Science, Applied Economics and Management
Activities and societies: Cornell Leadership Development Program (CCLEAD); Cornell Tradition Fellow
Completed a Bachelor of Science in Applied Economics and Management with a minor in Information Science; achieved Dean's List recognition.
Availability
Location
United StatesAuthorized to work in
Job categories
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